Influence of the built environment on urban residential low-carbon cognition in zhengzhou, China

被引:24
|
作者
Zhang, Jingfei [1 ]
Zhang, Lijun [1 ]
Qin, Yaochen [1 ]
Wang, Xia [1 ]
Zheng, Zhicheng [1 ]
机构
[1] Henan Univ, Coll Environm & Planning, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China
基金
美国国家科学基金会;
关键词
Low-carbon cognition; Distributed cognition; The built environment; Order logistic regression; Zhengzhou; ENERGY-SAVING BEHAVIORS; CONSUMPTION BEHAVIOR; EMISSIONS; AWARENESS; ATTITUDES;
D O I
10.1016/j.jclepro.2020.122429
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Low-carbon cognition can potentially impact low-carbon behavior, playing an important role in sustainable urban development. Traditional low-carbon cognition research has paid little attention to the built environment, causing an underestimation of the influence of urban spatial planning and regulation. Therefore, we constructed an analytical framework of low-carbon cognition and integrated the built environment 5D variables with local forces to investigate the cultural, local, and personal impact of low-carbon cognition. Low-carbon cognition in terms of energy use, daily travel, and consumption for 1485 households in Zhengzhou City was empirically studied. The results show that residents' low-carbon cognition is hierarchical. Low-carbon travel cognition is highly susceptible to the external environment, while low-carbon energy use cognition is susceptible to cultural factors. There are differences in the effects of the three forces on residents' low-carbon cognition. The personal and cultural forces have a greater impact on residents' low-carbon energy use and consumption cognition, while the local force affects various low-carbon cognition of residents. The heterogeneity of the built environmental impact should be focused on. The "5D" built environment (Density, Diversity, Design, Distance to transit, and Destination accessibility) positively affects the level of low-carbon travel cognitive, but negatively affects the level of low-carbon consumption cognitive. This study comprehensively analyzes the low-carbon cognition of energy use, daily travel, and consumption, objectively measures the impact of "Regional force" on low-carbon cognition, and determines the heterogeneous effect of the external built environment on low-carbon cognition. We provide detailed policy recommendations for the construction of low-carbon cities and transformation of residents' living behaviors. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Low-carbon transition paths and benefits for the power sector at city level: A case study in Zhengzhou, China
    Wen, Junhui
    Wang, Shuai
    Yu, Shijie
    Wang, Ke
    Zhang, Ruiqin
    Li, Wenjie
    JOURNAL OF CLEANER PRODUCTION, 2024, 450
  • [22] Consumers' Intention and Cognition for Low-Carbon Behavior: A Case Study of Hangzhou in China
    Yang, Yongliang
    Guo, Yiyang
    Luo, Suqing
    ENERGIES, 2020, 13 (21)
  • [23] Development strategies of low-carbon tourism attractions based on tourists' low-carbon Cognition
    Hou, XiaoLi
    Wang, Jing
    Xiao, ChangJing
    NATURAL RESOURCES AND SUSTAINABLE DEVELOPMENT II, PTS 1-4, 2012, 524-527 : 2517 - 2521
  • [24] An Exploration of Neighborhood Residents' Cognition of and Participation in Low-Carbon Behaviors in Wuhan, China
    Peng, Wenjun
    Wang, Xiaoming
    Guo, Lijun
    ADVANCES IN CIVIL ENGINEERING, 2018, 2018
  • [25] Recent Advances in Residential Energy Utilization Technologies for Low-Carbon Emissions in China
    Cao, Fei
    Yang, Yan
    ENERGIES, 2023, 16 (13)
  • [26] Who are the low-carbon activists? Analysis of the influence mechanism and group characteristics of low-carbon behavior in Tianjin, China
    Chen, Weidong
    Li, Jingqian
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 683 : 729 - 736
  • [27] Measurement the Low-Carbon Level of Residents' Daily Travel in Zhengzhou City
    Ning, Xiaoju
    Zhang, Jinping
    Lu, Fengxian
    Qin, Yaochen
    Yang, Shuichuan
    2013 21ST INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS), 2013,
  • [28] Estimation Method of Low-carbon and Zero-carbon in Residential Area A Case Study of a Residential Area in ShenZhen of China
    He Hua
    Zhou Zhi-yong
    Long Ye
    2011 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SYSTEMS SCIENCE AND ENGINEERING (ICESSE 2011), VOL 2, 2011, : 39 - 46
  • [29] On low-carbon transformation of Zhengzhou in central plain economic zone establishment
    Wang, Xianju
    MANUFACTURE ENGINEERING AND ENVIRONMENT ENGINEERING, VOLS 1 AND 2, 2014, 84 : 631 - 638
  • [30] Does neighborhood form influence low-carbon transportation in China?
    Guan, ChengHe
    Srinivasan, Sumeeta
    Nielsen, Chris P.
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2019, 67 : 406 - 420